Description
The role is a quantitative analytics position focused on analyzing experiments, improving foundational search systems, and developing foundational signals. Responsibilities include collaborating with stakeholders, designing and evaluating models, gathering and validating data across sources using SQL and Python, and translating business questions into analysis, evaluation metrics, or mathematical models. The posting requires a quantitative bachelor's degree and five years of relevant experience or a PhD, with machine learning, experiment design, and recommender systems experience preferred. The listed compensation is $138,000–$197,000 USD plus a 15% bonus target, equity, and benefits.
